| Literature DB >> 34987234 |
Grecia I M Raymundo-Martínez1, Gabriela P Alanis-Estrada2, Diego Araiza-Garaygordobil3, Itzel V Delgado-Cruz2, Rodrigo Gopar-Nieto1, Alejandro Cabello-López4, Pablo Martínez-Amezcua5, María A Arias-Mendoza3.
Abstract
BACKGROUND: Gender-based differences among cardiology professionals have been reported in North America and Europe. However, the perspective of Latin American cardiologists remains unexplored.Entities:
Keywords: América Latina; Cardiology; Cardiología; Gender inequality; Inequidad de género; Latin America
Mesh:
Year: 2022 PMID: 34987234 PMCID: PMC8771022 DOI: 10.24875/ACM.200001591
Source DB: PubMed Journal: Arch Cardiol Mex ISSN: 1665-1731
Sociodemographic characteristics of the population
| Characteristic | Total (n = 240) | Women (n = 100) (41.7%) | Men (n = 140) (58.3%) | p-value |
|---|---|---|---|---|
| Age (years) | 42 (37-52) | 39(34-44) | 47 (39-55) | 0.001 |
| Working hours per day | 10 (8-12) | 10 (8-12) | 10 (9-12) | 0.10 |
| Comorbidities | ||||
| Hypertension | 43 (17.99) | 7 (7) | 36 (25.9) | 0.001 |
| Diabetes | 10 (4.18) | 2 (2) | 8 (5.76) | 0.13 |
| Overweight | 75 (31.38) | 19 (19) | 56 (40.29) | 0.001 |
| Metabolic syndrome | 8 (3.35) | 2 (2) | 6 (4.32) | 0.27 |
| Insomnia | 42 (17.57) | 26 (26) | 16 (11.51) | 0.001 |
| Neoplasia | 8 (3.35) | 6 (6) | 2 (1.44) | 0.06 |
| Anxiety | 48 (20.08) | 30 (30) | 18 (12.95) | 0.001 |
| Depression | 46 (19.25) | 33 (33) | 13 (9.35) | 0.001 |
| Ischemic heart disease | 7 (2.93) | 0 | 7 (5.04) | 0.02 |
| Smoking | 12 (5.02) | 4 (4) | 8 (5.76) | 0.43 |
Figure 1Description of the specialties from the participants.
Figure 2Description of the type of job from the participants.
Figure 3Professional barriers and gender gap among Latin American cardiologists.
Description of the monthly income
| Monthly income (dollars) | Total n (%) | Women n (%) | Men n (%) |
|---|---|---|---|
| < 1000 | 20 (8.44) | 18 (18.37) | 2 (1.44) |
| 1001-2500 | 86 (32.29) | 52 (53.06) | 34 (24.46) |
| 2501-5000 | 63 (26.58) | 16 (16.33) | 47 (33.81) |
| 5001-10,0000 | 49 (20.68) | 11 (11.22) | 38 (27.34) |
| > 10,000 | 19 (8.02) | 1 (1.02) | 18 (12.95) |
p = 0.001.
Figure 4Adequate remuneration and place deserved at work.
Description of the place where the major proportion of the income is obtained
| Place of major income | Total n (%) | Women n (%) | Men n (%) |
|---|---|---|---|
| Private practice | 153 (64.02) | 47 (47) | 106 (76.26) |
| Public sector | 78 (32.64) | 47 (47) | 31 (22.3) |
| Other | 8 (3.35) | 6 (6) | 2 (1.44) |
Description of published scientific articles
| Number of published articles | Total n (%) | Women n (%) | Men n (%) |
|---|---|---|---|
| 0 | 69 (29.11) | 34 (34.34) | 35 (25.36) |
| 1-3 | 92 (38.82) | 42 (42.42) | 50 (36.23) |
| 4-6 | 31 (13.08) | 14 (14.14) | 17 (12.32) |
| 7-8 | 7 (2.95) | 2 (2.02) | 5 (3.62) |
| 9-10 | 6 (2.53) | 1 (1.01) | 5 (3.62) |
| >10 | 32 (13.5) | 6 (6.06) | 26 (18.84) |
p = 0.03.
Country of origin from the participants
| Country | Total n (%) | Women n (%) | Men n (%) |
|---|---|---|---|
| México | 168 (49) | 68 (20) | 100 (29) |
| Argentina | 2 (0.5) | 2 (0.5) | 0 |
| Bolivia | 6 (1.7) | 4 (1.1) | 2 (0.5) |
| Ecuador | 5 (1.4) | 3 (0.8) | 2 (0.5) |
| República Dominicana | 3 (0.8) | 2 (0.5) | 1 (0.3) |
| Guatemala | 20 (5.8) | 5 (1.4) | 15 (4.4) |
| Honduras | 1 (0.3) | 1 (0.3) | 0 |
| Perú | 6 (1.7) | 2 (0.5) | 4 (1.1) |
| Colombia | 7 (2) | 5 (1.4) | 2 (0.5) |
| El Salvador | 1 (0.3) | 0 | 1 (0.3) |
| Nicaragua | 4 (1.1) | 0 | 4 (1.1) |
| Panamá | 2 (0.5) | 0 | 2 (0.5) |
| Chile | 1 (0.3) | 0 | 1 (0.3) |
| Cuba | 1 (0.3) | 0 | 1 (0.3) |
| Uruguay | 1 (0.3) | 1 (0.3) | 0 |
| Costa Rica | 1 (0.3) | 1 (0.3) | 0 |
| Paraguay | 5 (1.4) | 5 (1.4) | 0 |
| Brazil | 1 (0.3) | 0 | 1 (0.3) |
Multivariate model for the prediction of inadequate remuneration and job dissatisfaction
| Variable | OR | SE | 95% CI | p |
|---|---|---|---|---|
| Male sex | 0.39 | 0.12 | 0.21-0.71 | 0.00 |
| Female sex | 4.26 | 1.08 | 0.58-7.02 | 0.00 |
| Having children | 0.51 | 0.17 | 0.26-0.98 | 0.04 |
| Depression | 2.76 | 1.21 | 1.17-6.52 | 0.02 |
| Sexual harassment | 5.12 | 3.19 | 1.51-17.37 | 0.00 |
| Discrimination | 5.76 | 3.13 | 1.98-16.74 | 0.00 |
| Family/commitments | 2.26 | 0.72 | 1.21-4.24 | 0.01 |
Description of the places of professional practice
| Places of professional practice | Total n (%) | Women n (%) | Men n (%) |
|---|---|---|---|
| University hospital | 7 (2.93) | 4 (4) | 3 (2.16) |
| Private hospital | 58 (24.27) | 18 (18) | 40 (28.78) |
| Pharmaceutical | 1 (0.42) | 0 | 1 (0.72) |
| Private practice | 94 (39.33) | 31 (31) | 63 (45.32) |
| Policlinic | 8 (3.35) | 5 (5) | 3 (2.16) |
| University | 24 (10.04) | 12 (12) | 12 (8.63) |
| Research | 9 (3.77) | 4 (4) | 5 (3.6) |
Description of physical activity per week
| Physical activity per week (min) | Total n (%) | Women n (%) | Men n (%) |
|---|---|---|---|
| < 100 min | 83 (34.73) | 41 (41) | 42 (30.22) |
| 100-150 min | 46 (19.25) | 17 (17) | 29 (20.86) |
| 151-200 min | 33 (13.81) | 13 (13) | 20 (14.39) |
| 201-250 min | 26 (10.88) | 6 (6) | 20 (14.39) |
| > 250 min | 26 (10.88) | 8 (8) | 18 (12.95) |
| No physical activity | 25 (10.46) | 15 (15) | 10 (7.19) |
p = 0.05.